岗位职责

主要研究方向包括但不限于：

   · 开展气溶胶气候效应模拟研究：利用全球/区域气候模型和地球系统模型开展气溶胶对气候影响的模拟研究，重点分析气溶胶排放对温度、降水和地球能量平衡的作用机制，深化对气候过程的理解。结合卫星和地面观测资料，与多模式模拟输出比对，评估气溶胶辐射效应和微物理过程的时空差异，推动相关参数化方案的改进。

   · 人工智能方法开发：利用机器学习/深度学习等人工智能工具开展气溶胶-气候耦合的数据驱动建模，提高模型效率和预测能力，例如构建神经网络优化气溶胶-云相互作用的模拟。

   · 情景分析与方案评估：探索不同气溶胶排放情景和潜在地球工程方案对全球及区域气候的影响，为适应与减缓策略提供科学依据。

与团队成员紧密合作，在国内外会议上展示研究成果，在高水平期刊发表论文，参与研究项目申请和研究生培养。

岗位要求

   已取得或即将取得大气科学、气候科学、地球系统科学、计算机科学或相关领域博士学位。具备扎实的气候动力学、气溶胶物理或相关领域知识；熟悉数值模拟和数据分析方法。熟练掌握至少一种科学计算语言（如 Python、Fortran、MATLAB 等）和机器学习框架，具备高性能计算经验。具备独立开展科研工作的能力和良好的团队协作精神。具有良好的中英文科学写作和沟通能力，在本领域期刊发表过论文。

优先考虑条件

· 在气溶胶-气候相互作用、气溶胶辐射/微物理效应或降水敏感性方面具有研究经验。

· 有应用机器学习或人工智能分析气候或地球科学数据的经历。

· 熟悉气溶胶排放减排情景或地球工程方案研究。

· 具有丰富的编程经验或大数据处理背景。

· 具有提出科研项目申请、撰写英文论文的经验。

关于研究组的介绍

   张仕鹏，姑苏青年教授，南赫学院副教授，国家级高层次青年人才。南京大学本科与硕士学位，牛津大学博士学位，牛津大学克拉伦登学者。张仕鹏老师的研究组（https://nh.nju.edu.cn/info/1051/7301.htm）致力于理解和预测人类活动（如温室气体与气溶胶排放）对气候系统的影响。研究聚焦于气溶胶的气候效应、气候变化背景下降水响应和地球工程等方向，强调对温度、降水及地球能量平衡的作用机制的研究，通过结合气候模型与理论分析提升气候预测准确性。未来将融合大气科学、气候模拟与机器学习方法，应对气候与环境领域的重大挑战，提供开放的跨学科科研环境，欢迎有志于相关方向的博士后加入。

申请材料

个人简历（CV）：包括教育经历、科研经历、发表论文列表等。

研究陈述：描述您的研究兴趣、现有工作及未来计划，并说明与该岗位的契合点。

三位推荐人的联系方式：包含推荐人姓名、职务、单位和邮箱。

学历学位证书复印件（如有）以及其它能够证明科研能力的材料。

代表性论文或成果：可附上 2–3 篇代表性论文全文或链接。

1. 年龄要求：年龄不超过35周岁（含35岁），身体健康。

2. 学历背景：已取得大气科学、气候科学、地球系统科学、计算机科学或相关专业的博士学位，获得博士学位时间一般不超过3年；应具备扎实的气候动力学、气溶胶物理或相关领域知识。

3. 研究经历：具有气溶胶气候效应模拟或相关方向的研究经验，熟悉数值模拟和数据分析方法；拥有运行气候或地球系统模式（如 WRF‑Chem、CESM 等）的经验。

4. 技术能力：熟练掌握至少一种科学计算语言（如 Python、Fortran、MATLAB 等）以及相关数据处理/机器学习框架，具备较强的数据分析和编程能力。

5. 其他要求：符合国家和南京大学关于博士后进站的相关规定，具备良好的团队合作精神和科研诚信。

Position Description

Research Responsibilities

The successful candidate will work on one of (but not limit to) the following topics:

· Modelling aerosol-climate interactions: Conduct global and regional climate simulations to investigate how aerosol emissions affect temperature, precipitation and the Earth’s energy balance. Integrate satellite and ground-based observations with multi-model outputs to evaluate the spatial-temporal variability of aerosol radiative and microphysical effects and to improve parameterizations.

· Artificial intelligence methodologies: Develop data-driven approaches (e.g., machine learning/deep learning) for aerosol-climate coupling, such as neural-network representations of aerosol-cloud interactions to increase model efficiency and predictive skill.

· Scenario and intervention analysis: Explore how different aerosol-emission pathways and potential geoengineering strategies influence global and regional climate, providing scientific support for adaptation and mitigation policies.

Beyond these topics, the postdoctoral fellow will collaborate closely with other team members, present results at domestic and international conferences, publish in high-impact journals and contribute to project proposals and graduate student mentoring.

Job Requirements

· A Ph.D. (completed or near completion) in atmospheric science, climate science, Earth system science, computer science or a related discipline.

· Solid background in climate dynamics, aerosol physics or related areas; familiarity with numerical modelling and data analysis.

· Proficiency in at least one scientific programming language (e.g., Python, Fortran, MATLAB) and machine-learning frameworks; experience with high-performance computing.

· Ability to conduct independent research and to work effectively within a team.

· Strong written and verbal communication skills in English (and Chinese, if applicable), with a record of publications in peer-reviewed journals.

Preferred Qualifications

· Research experience in aerosol–climate interactions, aerosol radiative/microphysical effects or precipitation sensitivity.

· Demonstrated use of machine learning or AI to analyse climate or Earth-science data.

· Familiarity with aerosol-emission scenarios or geoengineering assessments.

· Extensive programming or big-data experience.

· Experience writing grant proposals and drafting scholarly articles in English.

About the Research Group

Associate Professor Shipeng Zhang’s group (https://nh.nju.edu.cn/en/info/1051/7742.htm) focuses on understanding and predicting how human activities (such as greenhouse-gas and aerosol emissions) affect the climate system. Current topics include aerosol climate effects, hydrological responses to climate change and geoengineering. The group combines climate models with theoretical analyses to elucidate mechanisms governing temperature, precipitation and the Earth’s energy balance. Looking ahead, the group intends to merge atmospheric science and climate modelling with machine-learning techniques to tackle major challenges in climate and environmental research. The team provides an open, interdisciplinary research environment and welcomes motivated postdoctoral researchers to join.

Application Materials

· Curriculum vitae detailing education, research experience and publication list.

· Statement of research interests describing current work, future plans and their relevance to this position.

· Contact information for three referees (names, titles, affiliations and e-mail addresses).

· Copies of degree certificates (if available) and any additional evidence of research capability.

· Representative publications: attach two to three full papers or links to key articles.

2026.08.21

联系人：张仕鹏

联系方式：shipeng.zhang@nju.edu.cn